Xiaofeng Ding

1.4k citations
65 papers · 932 · h-index 18

Impact in

Papers in

Xiaofeng Ding

58 papers receiving 910 citations

Peers

Xiaofeng Ding
Comparison fields: 5 of 97
  • Signal Processing 200
  • Artificial Intelligence 483
  • Computer Networks and Communications 224
  • Information Systems 161
  • Computer Vision and Pattern Recognition 139
Replace Arnab Nandi with:
Arnab Nandi United States
Mohammed Kayed Egypt
Hayato Yamana Japan
John Mylopoulos Canada
Mauro Sozio France
Shenglin Zhao Hong Kong
Hwan-Seung Yong South Korea
Bing Tian Dai Singapore
Yuni Xia United States
Ming Xu China
Xiaofeng Ding relative to Arnab Nandi United States Arnab Nandi's profile →
Citations per field
00.5×4.8×
Arnab Nandi · 1×
Citations per year

Countries citing papers authored by Xiaofeng Ding

Since Specialization
Citations

This map shows the geographic impact of Xiaofeng Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaofeng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Ding more than expected).

Fields of papers citing papers by Xiaofeng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaofeng Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaofeng Ding. The network helps show where Xiaofeng Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaofeng Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaofeng Ding Line = papers co-authored together Xiaofeng Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997131
2 201272
3 201756
4 202154
5 201146
6 201139
7 202339
8 202032
9 201932
10 201828
11 202127
12 202023
13 201323
14 201322
15 201519
16 201919
17 202217
18 202317
19 201617
20 202216

About Xiaofeng Ding

Xiaofeng Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 65 papers that have together received 932 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (30 papers), Cryptography and Data Security (16 papers), Data Management and Algorithms (13 papers), Advanced SAR Imaging Techniques (7 papers), Data Quality and Management (6 papers), Advanced Database Systems and Queries (6 papers), Graph Theory and Algorithms (5 papers) and Privacy, Security, and Data Protection (5 papers). The work is most often cited by research in Signal Processing (200 citations), Artificial Intelligence (483 citations), Computer Networks and Communications (224 citations), Information Systems (161 citations) and Computer Vision and Pattern Recognition (139 citations). Xiaofeng Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hai Jin, Pan Zhou, Juliann G. Kiang, George C. Tsokos, Stamatis‐Nick C. Liossis, Kim‐Kwang Raymond Choo, Anthony K. H. Tung, Zichuan Xu, Zhifeng Bao and Xiang Lian. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Information Forensics and Security, Proceedings of the VLDB Endowment and Journal of Intelligent Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact